Open AccessDensity Based Emergency Vehicle Detection and Traffic Signal Controlling using Image Processing
Author(s) -
Sriharsha Vikruthi,
E. V. N. Jyothi,
Pallamreddy Venkatasubbareddy
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.e6139.018520
Subject(s) - computer science , image processing , signal (programming language) , image (mathematics) , computer vision , artificial intelligence , software , traffic congestion , real time computing , traffic signal , engineering , transport engineering , programming language
In present day generation, the number of vehicles is increased because of increase in population. Hence in this paper, the design of vehicle detection and traffic control signal is implemented by using processing of image. The proposed system main intent is to acquire the images for the vehicle and control the traffic signal. Firstly an image is captures from the web camera, which is placed in traffic control area on the road. After this the traffic density is calculated from the obtained images. Basically, this image enhancement performs its operation in two forms they are operating phase and learning phase. Here the captured image as enhanced by using the image enhancement method. Hence the main advantage of this proposes system is that it processes the entire operation in simple way with high speed. The proposed system will capture the images of road areas in effective way. Hence the propose system has various features which will determine the color, width and many other. The proposed implemented system is mat lab software to prevent congestion of heavy traffic.